Vulnerability Database

325,648

Total vulnerabilities in the database

Vulnerabilities for products matching "openafs"

Found 1 matching product.

You can search for specific versions with /product/openafs/1.2.3

openafs / openafs

36 vulnerabilities found
Title Severity Exploit Date Affected Version
High November 14, 2024 11/14/24
== 1.9.0
>= 1.0 < 1.6.25
>= 1.8.0 < 1.8.13
Medium November 14, 2024 11/14/24
== 1.9.0
>= 1.0 < 1.6.25
>= 1.8.0 < 1.8.13
High November 14, 2024 11/14/24
== 1.9.0
>= 1.0 < 1.6.25
>= 1.8.0 < 1.8.13
High October 29, 2019 10/29/19
>= 1.8.0 < 1.8.5
< 1.6.24
High October 29, 2019 10/29/19
>= 1.8.0 < 1.8.5
< 1.6.24
Medium October 29, 2019 10/29/19
>= 1.8.0 < 1.8.5
< 1.6.24
High September 12, 2018 9/12/18
>= 1.8.0 < 1.8.2
< 1.6.23
Medium September 12, 2018 9/12/18
>= 1.8.0 < 1.8.2
< 1.6.23
Medium September 12, 2018 9/12/18
>= 1.8.0 < 1.8.2
< 1.6.23
High December 6, 2017 12/6/17
>= 1.0 < 1.6.22
Medium February 6, 2017 2/6/17
<= 1.6.19
Medium May 13, 2016 5/13/16
<= 1.6.16
Low May 13, 2016 5/13/16
<= 1.6.16
High May 13, 2016 5/13/16
<= 1.6.15
Medium November 6, 2015 11/6/15
== 1.7.30
== 1.6.9
== 1.7.26
== 1.6.7
== 1.7.20
== 1.7.21
== 1.7.2
== 1.7.24
== 1.6.0
== 1.6.5.1
== 1.7.13
== 1.7.23
== 1.6.11
== 1.6.4
== 1.7.8
== 1.7.1
== 1.7.17
== 1.6.12
== 1.6.5.2
== 1.7.12
== 1.7.4
== 1.7.15
== 1.7.14
== 1.6.1
== 1.5.77
== 1.6.3
== 1.7.18
== 1.7.3
== 1.6.14
== 1.6.2
== 1.7.29
== 1.7.27
== 1.6.6
== 1.6.2.1
== 1.7.19
== 1.7.25
== 1.5.75
== 1.6.10
== 1.7.22
== 1.5.78
== 1.6.8
== 1.5.76
== 1.7.31
== 1.6.13
== 1.7.10
== 1.7.11
== 1.7.16
== 1.7.28
== 1.6.5
Medium November 6, 2015 11/6/15
<= 1.6.14.1
== 1.7.30
== 1.7.26
== 1.7.20
== 1.7.21
== 1.7.2
== 1.7.24
== 1.7.13
== 1.7.23
== 1.7.8
== 1.7.1
== 1.7.17
== 1.7.12
== 1.7.4
== 1.7.15
== 1.7.14
== 1.7.18
== 1.7.3
== 1.7.29
== 1.7.27
== 1.7.19
== 1.7.25
== 1.7.22
== 1.7.31
== 1.7.10
== 1.7.11
== 1.7.16
== 1.7.28
Low September 2, 2015 9/2/15
<= 1.6.12
Low August 12, 2015 8/12/15
<= 1.6.12
Low August 12, 2015 8/12/15
<= 1.6.12
Low August 12, 2015 8/12/15
<= 1.6.12
Medium August 12, 2015 8/12/15
<= 1.6.12
Low August 12, 2015 8/12/15
<= 1.6.12
Medium June 17, 2014 6/17/14
== 1.6.8
Medium April 14, 2014 4/14/14
== 1.6.0
== 1.6.5.1
== 1.6.4
== 1.6.5.2
== 1.6.1
<= 1.6.6
== 1.6.3
== 1.6.2
== 1.6.2.1
== 1.6.5
Medium April 14, 2014 4/14/14
== 1.4.14.1
== 1.4.9
== 1.4.10
== 1.4.12
== 1.6.0
== 1.6.5.1
== 1.6.4
== 1.6.5.2
== 1.6.1
== 1.6.3
== 1.4.15
== 1.6.2
== 1.4.11
== 1.6.6
== 1.6.2.1
== 1.4.8
== 1.6.5
== 1.4.14
Low November 5, 2013 11/5/13
== 1.6.0
== 1.6.4
== 1.6.1
== 1.6.3
== 1.6.2
== 1.6.2.1
Low November 5, 2013 11/5/13
== 1.2.11
== 1.4.4
== 1.7.20
== 1.7.21
== 1.1.1a
== 1.4.12
== 1.7.2
== 1.2.7
== 1.7.24
== 1.4.3
== 1.6.0
== 1.4.8_pre3
== 1.2.1
== 1.0
== 1.7.13
== 1.7.23
== 1.4.0
<= 1.4.14
== 1.1
== 1.4.2
== 1.0.2
== 1.6.4
== 1.0.4
== 1.7.8
== 1.4.7_pre1
== 1.7.1
== 1.2.8
== 1.7.17
== 1.0.1
== 1.3.70
== 1.4.5
== 1.3.81
== 1.2.13
== 1.3.74
== 1.7.12
== 1.2.2b
== 1.2.4
== 1.7.4
== 1.1.1
== 1.7.15
== 1.4.7_pre3
== 1.7.14
== 1.3.1
== 1.4.8_pre2
== 1.4.6
== 1.2.10
== 1.6.1
== 1.2.2
== 1.6.3
== 1.2.9
== 1.0.3
== 1.7.18
== 1.3
== 1.7.3
== 1.4.7_pre2
== 1.4.7_pre5
== 1.4.7
== 1.6.2
== 1.3.5
== 1.2.5
== 1.6.2.1
== 1.7.19
== 1.7.25
== 1.7.22
== 1.4.8
== 1.4.1
== 1.2.3
== 1.4
== 1.7.10
== 1.7.11
== 1.2.6
== 1.7.16
== 1.4.8_pre1
== 1.1.0
== 1.3.77
== 1.0.4a
== 1.2
== 1.4.7_pre4
== 1.3.2
== 1.2.2a
Medium March 14, 2013 3/14/13
== 1.5.73
== 1.5.25
== 1.5.27
== 1.5.35
== 1.5.74
== 1.5.29
== 1.5.23
== 1.5.68
== 1.6.0
== 1.5.32
== 1.5.33
== 1.5.62
== 1.5.50
== 1.5.72
== 1.5.13
== 1.5.71
== 1.5.12
== 1.5.56
== 1.5.30
== 1.5.39
== 1.5.26
== 1.5.15
== 1.5.31
== 1.5.16
== 1.5.24
== 1.5.59
== 1.5.53
== 1.5.61
== 1.5.14
== 1.5.18
== 1.5.77
== 1.5.36
== 1.5.67
== 1.5.20
== 1.5.19
== 1.5.58
== 1.5.10
== 1.5.63
<= 1.6.1
== 1.5.38
== 1.5.37
== 1.5.17
== 1.5.64
== 1.5.21
== 1.5.52
== 1.5.60
== 1.5.55
== 1.5.69
== 1.5.70
== 1.5.51
== 1.5.75
== 1.5.34
== 1.5.22
== 1.5.78
== 1.5.11
== 1.5.57
== 1.5.76
== 1.5.65
== 1.5.66
== 1.5.54
== 1.5.28
Medium March 14, 2013 3/14/13
== 1.5.73
== 1.5.25
== 1.5.27
== 1.5.35
== 1.5.74
== 1.5.29
== 1.5.23
== 1.5.68
== 1.6.0
== 1.5.32
== 1.5.33
== 1.5.62
== 1.5.50
== 1.5.72
== 1.5.13
== 1.5.71
== 1.5.12
== 1.5.56
== 1.5.30
== 1.5.39
== 1.5.26
== 1.5.15
== 1.5.31
== 1.5.16
== 1.5.24
== 1.5.59
== 1.5.53
== 1.5.61
== 1.5.14
== 1.5.18
== 1.5.77
== 1.5.36
== 1.5.67
== 1.5.20
== 1.5.19
== 1.5.58
== 1.5.10
== 1.5.63
<= 1.6.1
== 1.5.38
== 1.5.37
== 1.5.17
== 1.5.64
== 1.5.21
== 1.5.52
== 1.5.60
== 1.5.55
== 1.5.69
== 1.5.70
== 1.5.51
== 1.5.75
== 1.5.34
== 1.5.22
== 1.5.78
== 1.5.11
== 1.5.57
== 1.5.76
== 1.5.65
== 1.5.66
== 1.5.54
== 1.5.28
High February 19, 2011 2/19/11
== 1.4.12
== 1.4.7
== 1.4.14
Medium February 19, 2011 2/19/11
== 1.4.12
== 1.4.7
== 1.4.14
High April 9, 2009 4/9/09
== 1.0
== 1.0.1
== 1.0.2
== 1.0.3
== 1.0.4
== 1.0.4a
== 1.1
== 1.1.0
== 1.1.1
== 1.1.1a
== 1.2
== 1.2.1
== 1.2.2
== 1.2.2a
== 1.2.2b
== 1.2.3
== 1.2.4
== 1.2.5
== 1.2.6
== 1.2.7
== 1.2.8
== 1.2.9
== 1.2.10
== 1.2.11
== 1.2.13
== 1.3
== 1.3.1
== 1.3.2
== 1.3.5
== 1.3.70
== 1.3.74
== 1.3.77
== 1.3.81
== 1.4
== 1.4.0
== 1.4.3
== 1.4.4
== 1.4.5
== 1.4.6
== 1.4.7
== 1.4.7_pre1
== 1.4.7_pre2
== 1.4.7_pre3
== 1.4.7_pre4
== 1.4.7_pre5
== 1.4.8
== 1.4.8_pre1
== 1.4.8_pre2
== 1.4.8_pre3
== 1.5
== 1.5.16
== 1.5.17
== 1.5.26
== 1.5.27
== 1.5.30
== 1.5.31
== 1.5.32
== 1.5.33
== 1.5.34
== 1.5.35
== 1.5.36
== 1.5.38
== 1.5.39
== 1.5.50
== 1.5.52
== 1.5.53
== 1.5.54
== 1.5.55
== 1.5.56
== 1.5.57
== 1.5.58
High April 9, 2009 4/9/09
== 1.0
== 1.0.1
== 1.0.2
== 1.0.3
== 1.0.4
== 1.0.4a
== 1.1
== 1.1.0
== 1.1.1
== 1.1.1a
== 1.2
== 1.2.1
== 1.2.2
== 1.2.2a
== 1.2.2b
== 1.2.3
== 1.2.4
== 1.2.5
== 1.2.6
== 1.2.7
== 1.2.8
== 1.2.9
== 1.2.10
== 1.2.11
== 1.2.13
== 1.3
== 1.3.1
== 1.3.2
== 1.3.5
== 1.3.70
== 1.3.74
== 1.3.77
== 1.3.81
== 1.4
== 1.4.0
== 1.4.3
== 1.4.4
== 1.4.5
== 1.4.6
== 1.4.7
== 1.4.7_pre1
== 1.4.7_pre2
== 1.4.7_pre3
== 1.4.7_pre4
== 1.4.7_pre5
== 1.4.8
== 1.4.8_pre1
== 1.4.8_pre2
== 1.4.8_pre3
== 1.5
== 1.5.16
== 1.5.17
== 1.5.26
== 1.5.27
== 1.5.30
== 1.5.31
== 1.5.32
== 1.5.33
== 1.5.34
== 1.5.35
== 1.5.36
== 1.5.38
== 1.5.39
== 1.5.50
== 1.5.52
== 1.5.53
== 1.5.54
== 1.5.55
== 1.5.56
== 1.5.57
== 1.5.58
Low January 4, 2008 1/4/08
>= 1.3.50 <= 1.4.5
>= 1.5.0 <= 1.5.27
High March 20, 2007 3/20/07
== 1.4.4
== 1.4.3
== 1.4.0
== 1.5.6
== 1.4.2
== 1.5.13
== 1.5.3
== 1.5.5
== 1.5.12
== 1.5.1
== 1.5.15
== 1.5.8
== 1.5.16
== 1.5.14
== 1.5.9
== 1.5.10
== 1.5.0
== 1.5.2
== 1.4.1
== 1.5.11
== 1.5.7
High March 25, 2003 3/25/03
== 1.0
== 1.0.1
== 1.0.2
== 1.0.3
== 1.0.4
== 1.0.4a
== 1.1
== 1.1.1
== 1.1.1a
== 1.2
== 1.2.1
== 1.2.2
== 1.2.2a
== 1.2.2b
== 1.2.3
== 1.2.4
== 1.2.5
== 1.2.6
== 1.3
== 1.3.1
== 1.3.2

Frequently Asked Questions

A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.

CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.

Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.

Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

SynScan combines attack surface monitoring and continuous security auditing to keep your inventory current, flag high-impact vulnerabilities early, and help you turn raw findings into a practical remediation plan.